Mastra Docs

OrganizationPopular

mastra-ai

From the team behind Gatsby, Mastra is a framework for building AI-powered applications and agents with a modern TypeScript stack.

Publisher	mastra-ai
Repository	`mastra`
Language	TypeScript
Forks	2.1K
Stars	23.9K
Available tools	0
Transport type	stdio
Categories	Productivity Developer Tools
License	NOASSERTION
Links	GitHub Homepage

Connect tools to AI workflows
Mastra Docs exposes MCP capabilities that can be used by compatible AI clients and agents.
0 available tools
Browse the callable actions below, including names and descriptions when provided by the server.
Ready-to-copy setup
Use the installation snippets to configure this server in your preferred MCP client.
Open source signals
23.9K stars and 2.1K forks from the linked repository.

Mastra

Mastra is a framework for building AI-powered applications and agents with a modern TypeScript stack.

It includes everything you need to go from early prototypes to production-ready applications. Mastra integrates with frontend and backend frameworks like React, Next.js, and Node, or you can deploy it anywhere as a standalone server. It's the easiest way to build, tune, and scale reliable AI products.

Why Mastra?

Purpose-built for TypeScript and designed around established AI patterns, Mastra gives you everything you need to build great AI applications out-of-the-box.

Some highlights include:

Model routing - Connect to 40+ providers through one standard interface. Use models from OpenAI, Anthropic, Gemini, and more.
Agents - Build autonomous agents that use LLMs and tools to solve open-ended tasks. Agents reason about goals, decide which tools to use, and iterate internally until the model emits a final answer or an optional stopping condition is met.
Workflows - When you need explicit control over execution, use Mastra's graph-based workflow engine to orchestrate complex multi-step processes. Mastra workflows use an intuitive syntax for control flow (.then(), .branch(), .parallel()).
Human-in-the-loop - Suspend an agent or workflow and await user input or approval before resuming. Mastra uses storage to remember execution state, so you can pause indefinitely and resume where you left off.
Context management - Give your agents the right context at the right time. Provide conversation history, retrieve data from your sources (APIs, databases, files), and add human-like working and semantic memory so your agents behave coherently.
Integrations - Bundle agents and workflows into existing React, Next.js, or Node.js apps, or ship them as standalone endpoints. When building UIs, integrate with agentic libraries like Vercel's AI SDK UI and CopilotKit to bring your AI assistant to life on the web.
MCP servers - Author Model Context Protocol servers, exposing agents, tools, and other structured resources via the MCP interface. These can then be accessed by any system or agent that supports the protocol.
Production essentials - Shipping reliable agents takes ongoing insight, evaluation, and iteration. With built-in evals and observability, Mastra gives you the tools to observe, measure, and refine continuously.

Get started

The recommended way to get started with Mastra is by running the command below:

shell
npm create mastra@latest

Follow the Installation guide for step-by-step setup with the CLI or a manual install.

If you're new to AI agents, check out our templates, course, and YouTube videos to start building with Mastra today.

Documentation

Visit our official documentation.

Build with AI

Learn how to make your agent a Mastra expert by following the Build with AI guide.

Contributing

Looking to contribute? All types of help are appreciated, from coding to testing and feature specification. Read CONTRIBUTING.md for more details on how to get involved.

If you are a developer and would like to contribute with code, please open an issue to discuss before opening a Pull Request.

Information about the project setup can be found in the development documentation

Support

We have an open community Discord. Come and say hello and let us know if you have any questions or need any help getting things running.

It's also super helpful if you leave the project a star here, at the top of the page

Licensing

This repository uses a dual-license model:

Apache License 2.0 — The core framework and the vast majority of this codebase is open source under Apache-2.0.
Mastra Enterprise License — Code in any directory named ee/ (e.g., packages/core/src/auth/ee/) is source-available under the Mastra Enterprise License. These features require a valid enterprise license for production use but can be freely used for development and testing.

See LICENSE.md for the full license mapping and ee/LICENSE for the enterprise license terms.

Security

We are committed to maintaining the security of this repo and of Mastra as a whole. If you discover a security finding we ask you to please responsibly disclose this to us at security@mastra.ai and we will get back to you.

Installation

TypingMind

Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "mastra": {
      "command": "npx",
      "args": [
        "-y",
        "@mastra/mcp-docs-server"
      ]
    }
  }
}

Use Mastra Docs MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once Mastra Docs is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

Open TypingMind in your browser.
Click the Settings icon.
Go to Advanced Settings.
Open the Model Context Protocol section.
Click Setup Connector and choose This Device.

TypingMind MCP connector setup screen with This Device selected

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

Copy the setup command shown by TypingMind.
Open Terminal on macOS or Windows Terminal on Windows.
Paste and run the command.
Approve the package install if Terminal asks you to proceed.
Keep the Terminal window running while using MCP tools.

Add Mastra Docs as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

Wait until the connector status shows Ready.
Click Edit Servers.
Paste the Mastra Docs MCP server configuration.
Save the server list.
Refresh if you want to confirm the connector is still ready.

TypingMind MCP settings showing active server and Edit Servers button

Use it across models

Save the server list, open Plugins, enable the Mastra Docs MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

Open the Plugins page in TypingMind.
Enable the Mastra Docs MCP tools.
Start a chat and choose the AI model you want to use.
Use the MCP tools in chat or assign them to an AI agent.
Switch to another AI model whenever needed without reconnecting MCP.

TypingMind chat using enabled MCP tools with a selected AI model

Frequently asked questions

What is the Mastra Docs MCP server used for?

Mastra Docs is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use Mastra Docs MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use Mastra Docs with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use Mastra Docs MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With Mastra Docs connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect Mastra Docs MCP to TypingMind?

Mastra Docs runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does Mastra Docs MCP provide in TypingMind?

Mastra Docs exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use Mastra Docs MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Mastra Docs requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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Mastra

Why Mastra?

Get started

Documentation

Build with AI

Contributing

Support

Licensing

Security

Installation

Use Mastra Docs MCP with multiple AI models

Setup guide to use the local connector

Open the MCP settings

Run the connector command

Add Mastra Docs as a server

Use it across models

Frequently asked questions

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